Please use this identifier to cite or link to this item:
Full metadata record
DC FieldValueLanguage
dc.contributor.authorunicampGroenendyk, Peter Stoltenborg-
dc.titleUsing tree-ring data to improve timber-yield projections for African wet tropical forest tree speciespt_BR
dc.contributor.authorGroenendijk, Peter-
dc.contributor.authorBongers, Frans-
dc.contributor.authorZuidema, Pieter A.-
dc.description.abstractWorldwide, over 400 million hectares of tropical forests are set aside for timber production. Several certification schemes exist to ensure more sustainable exploitation and large areas of production forests are currently certified. Under such schemes, logging companies are required to evaluate whether species are not overexploited and, if necessary, adapt their logging activities. However, the data needed to project exploitation intensities – growth, mortality and regeneration rates of trees – are scarce or non-existent. Tree-ring analysis provides lifetime species-specific growth data that can be used to allow or improve the projections of timber availability during following logging cycles. In this study, we integrated growth data from tree rings with logging inventory data to forecast timber yields in the next harvest round for four timber species in Cameroon. We compared projections using tree-ring data with projections using fixed growth rates, as set by law and customarily applied in Cameroon. Additionally, we assessed the effect of increasing logging cycles and of using filed-based species-specific logging intensities on the next cycle’s yield projections. Under current logging practices, timber volumes available at next logging cycles are projected to be 21–36% of the volumes obtained at first harvest. Simulations using fixed rates often resulted in lower yields with lower volume ingrowth from trees that were below minimum cutting diameters in the first harvest. Lengthening the logging cycle increased yield predictions during the next harvests, but yields were still not sustained over time. This problem can be resolved by using species-specific logging intensities, which led to projected yields of up to 73% of the initial harvested volume. The growth data provided by tree-ring analysis allows conducting such species-specific projections and thus helps to provide the knowledge base necessary for sustainable forest management. Yet, the low overall yields are a concern to forest conservation, as loss of economic value may lead to conversion of forests to other land usespt_BR
dc.relation.ispartofForest ecology and managementpt_BR
dc.relation.ispartofabbreviationFor. ecol. manage.pt_BR
dc.publisher.countryPaíses Baixospt_BR
dc.description.provenanceSubmitted by Susilene Barbosa da Silva ( on 2020-10-13T19:26:39Z No. of bitstreams: 0. Added 1 bitstream(s) on 2021-02-18T20:27:17Z : No. of bitstreams: 1 000406732100039.pdf: 1239888 bytes, checksum: 3ba11436e896d766cefad77680fe3edf (MD5)en
dc.description.provenanceMade available in DSpace on 2020-10-13T19:26:39Z (GMT). No. of bitstreams: 0 Previous issue date: 2017en
dc.contributor.departmentSem informaçãopt_BR
dc.contributor.unidadeInstituto de Biologiapt_BR
dc.subject.keywordGrowth projectionspt_BR
dc.subject.keywordMinimum logging diameterpt_BR
dc.subject.keywordLogging cyclept_BR
dc.subject.keywordSustainable forest managementpt_BR
dc.description.sponsorNoteWe are greatly thankful to the field crew at FMU 11.001 and the staff of the TRC logging company, for their invaluable support with the preparations for fieldwork and great help with tree identification and sampling. In particular, we would like to thank David Zakamdi and the villagers of Okoroba and Abat for welcoming us. Additionally, Prof. Dr. Martin Tchamba and the Department of Forestry of the University of Dschang are acknowledged for their support. Finally, we would also like to thank Peter van der Sleen, Mart Vlam, Wouter Berendsen, Fintan Kelly, William Mbia Nanga, Moïse Guy Singha, Thomas Voswinkel, Evelien Louwers, Katrui Veldhuijzen, Irene Bender and Richard Peters for their dedication with field work, ring-measurements, and discussions. Tree-ring data available at the Dryad Data Repository (Sheil et al., 2016). This study was supported by a European Research Council grant to PAZ (ERC, grant #242955)pt_BR
Appears in Collections:IB - Artigos e Outros Documentos

Files in This Item:
File Description SizeFormat 
000406732100039.pdf1.21 MBAdobe PDFView/Open

Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.